Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
709858 | IFAC Proceedings Volumes | 2012 | 6 Pages |
In the framework of different projects, various control strategies for climate management in preventive conservation were developed and applied in different applications. Therefore, modern concepts of predictive control and fuzzy objective functions to calculate optimal set points for control circuits in basic automation (temperature and humidity) and to estimate optimal ventilation strategies are in the focus of research. To increase the effectiveness of the development process, the complete power for computational calculations is outsourced on a central server. This paper presents the basics of the predictive control under fuzziness, describes the used structure of data management as well as first results of the web-based approaches of climate management.